Data Classes for High-Performing MDs

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

Learn Excel Power Pivot to analyze large amounts of data in a high-performance environment. Excel Power Pivot is a powerful advanced data analysis tool in Excel that allows you to connect various data sources to build a data model and perform advanced analysis using DAX.

We help marketing practitioners solve the "having data but being unable to reach a conclusion" problem through a practical routine—spanning problem definition, analysis, interpretation, and one-page reporting—combined with the use of ChatGPT.

ITQ Excel National Certification Key Summary Lecture to be Obtained in Two Days of Weekend! 4 Mock Exams and Special Lecture on Functions Provided Separately!

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

We'll take a very practical and easy approach to cost accounting and management analysis using Excel, which you may have found difficult before. This course covers the following topics: - Cost Accounting from Basics to Practice: Step-by-step learning from cost concepts, standard costs, actual costs, to indirect cost allocation - Understanding Financial Statements and Accounting Flow: From manufacturing cost flow to accounting treatment and financial statement generation process - Strategic Pricing Methods: Pricing strategies by market type and profitability analysis by product - Analyzing Management Indicators with Excel: Break-even point analysis and financial ratio analysis practice - Management Decision-Making Based on Management Accounting: Short-term/long-term business planning and business feasibility analysis practice

This is a special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

You can learn how to use GA4 in practice by creating core reports for GA4 utilization. You will learn specific examples of which reports to create and how to create them for data analysis. For practical analysis, it also includes instructions on how to install and use Microsoft Clarity, a heatmap tool.

This is a course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

Is it enough to just search for past exam questions and pass the Google Analytics Individual Qualification (GAIQ)? A certification holds little meaning if you obtain it without knowing how GA4 is actually used in practice or how to query and utilize data. This course focuses on practical application, allowing you to directly examine reports and GA demo accounts, and even set up a demo shopping mall yourself. You will build the skills necessary for the field while solving the latest 2026 GAIQ exam questions.

This course will help you strengthen the core of your business marketing by teaching you how to leverage data to find marketing insights.

A practical beginner course that completes SQL fundamentals in just 3 hours

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

We approach cost accounting and management analysis, which you may have found difficult, in a very practical and easy way using Excel. This course covers the following topics: - Cost Calculation from Basics to Practice: Step-by-step learning from cost concepts, standard costs, actual costs, to indirect cost allocation - Understanding Financial Statements and Accounting Flow: From manufacturing cost flow to accounting processing and financial statement creation process - Strategic Pricing Methods: Pricing strategies by market type and profitability analysis by product - Analyzing Management Indicators with Excel: Break-even point analysis and financial ratio analysis practice - Management Decision-Making Based on Management Accounting: Short-term/medium-to-long-term business planning and business feasibility analysis practice

Artificial Intelligence is transforming the way professionals work with data. Microsoft Copilot in Excel allows you to analyze, clean, format, automate, and optimize spreadsheets faster than ever before. But using Copilot effectively requires more than just typing prompts — it requires understanding Excel fundamentals, structured thinking, and prompt engineering. This course gives you exactly that. You will learn how to combine Excel expertise with AI-powered automation to dramatically improve productivity, accuracy, and workflow efficiency. What You Will Gain From This Course • Save hours every week using AI-driven Excel automation • Analyze large datasets in seconds using Copilot • Clean and fix messy data effortlessly • Write powerful formulas with AI assistance • Master prompt engineering for Excel Copilot • Build professional reports and dashboards faster • Improve decision-making with AI-powered insights • Optimize workflows for real-world business scenarios By the end of this course, you will not just “use” Copilot — you will control it. What This Course Covers Foundations What is Microsoft Copilot How to activate and use Copilot in Excel Introduction to Excel basics and navigation Data types and conversions Data entry and validation techniques Excel Core Skills Mathematical, logical, and time functions Nested functions for complex calculations Combining logical and LOOKUP functions Conditional statements and formatting Pivot tables and advanced formatting Data Analysis with Copilot Data general analysis and Q&A Sorting, filtering, and profiling data Handling and fixing missing data Identifying and correcting common data errors Transposing data for trend analysis Date-time formatting techniques AI-Powered Excel Automation Generating synthetic data Adding formula columns with Copilot Subtotals and advanced calculations Optimizing workflows using Copilot Enhancing data presentation Editing spreadsheets intelligently Prompt Engineering for Excel Copilot Writing effective prompts Advanced prompt engineering techniques Evaluating prompt performance Optimizing prompts for better results Customizing Copilot for improved outcomes Real-World Application Creating a travel budget using Copilot Practical exercises and activities Performance evaluation and improvement strategies Why This Course Is Different Most Excel courses teach formulas. Most AI courses teach theory. This course bridges both. You will learn Excel fundamentals and advanced skills alongside AI-powered Copilot usage. That combination makes you significantly more productive than someone who only knows Excel or only knows AI prompts. This course is structured for clarity, practical application, and real-world efficiency. Who This Course Is For • Business professionals who work with Excel daily • Data analysts and aspiring analysts • Managers who want faster reporting • Students preparing for corporate roles • Entrepreneurs handling business data • Anyone who wants to leverage AI inside Excel No prior AI experience is required. Excel basics are covered before advancing into automation and Copilot optimization. Why You Should Enroll Today Microsoft Copilot is becoming a core productivity tool across organizations. Professionals who understand how to use AI effectively inside Excel will have a measurable competitive advantage. Instead of spending hours writing formulas, cleaning data, or building reports manually, you will learn how to work smarter. If you want to future-proof your Excel skills and become significantly more efficient with data, this course is for you. Enroll now and master Microsoft Copilot in Excel with confidence.

This is a free lecture designed to help those who are new to TEXTOM easily acquire text mining and big data analysis skills through hands-on exercises with examples, rather than focusing on fundamental theoretical explanations.

"Have you given up on data analysis after only studying the tools?" PMs at large corporations only need to look at the data already implemented by the analysis team. However, PMs at startups or side projects are different. They must build the 'foundation' themselves—from designing logs and labeling them to collecting the data. "Everyone says data is important, but what exactly should I implement and where in my service?" Stop getting lost in abstract concepts. Checking login history is the true beginning of Data-Driven Decision Making (DDDM).

Understand the essence of the job market through economic and statistical concepts, and redesign employment and career-change strategies as data-driven probability problems rather than relying on intuition or "spec" (credentials) competition. Instead of simply accumulating more credentials, this strategy shifts the "playing field" to a rational recruitment market by using AI to directly collect and analyze job postings and corporate data to select markets and openings with a high probability of success. By utilizing AI as a tool built upon core economic and statistical concepts, we systematize document, interview, and application strategies, presenting a way for even non-majors to develop a data-driven employment mindset. Furthermore, we provide a method for non-majors to directly implement a 24-hour AI recruitment assistant—which can be used immediately as a portfolio piece—through AI-based "Vibe Coding."